Bayes' statistical rule remains the status quo for modeling belief updating in both normative and descriptive models of behavior under uncertainty. Recent research has questioned the use of Bayes' rule in descriptive models of behavior, presenting evidence that people overweight 'good news'...

This paper studies the causal effect of providing information about climate changeon individuals’ willingness to pay to offset carbon emissions in a randomizedcontrol trial. Receiving truthful information about ways to reduce CO2 emis-sions increases individuals’ willingness to pay for CO2...

We develop a measure of static misallocation that separates uncertainty from misallocation generated by tax-like distortions. In the Finnish firm-level data, uncertainty accounts for the majority of ex post misallocation and explains a strong decreasing age-dependent trend in it. To understand...

We study an optimal liquidation problem under the ambiguity with respect to price impact parameters. Our main results show that the value function and the optimal trading strategy can be characterized by the solution to a semi-linear PDE with superlinear gradient, monotone generator and singular...